Classroom Attendance Scale Development and Validation Study

Classroom Attendance Scale (CAS) is prepared with 14 items. Prepared CAS consists of items with likert type. Sample of the study consists of 318 college students who study at education faculty at science education and primary education programs along with students who work at engineering faculty. Principal axis factoring with orthogonal rotation (varimax) is used for exploratory factor analysis. Factor eigenvalues are obtained and corrected-item total correlations were analyzed. Items which did not serve the purpose of scale were omitted from CAS. Thus, analyses with same procedure were reconducted several times until reaching to a final version of the CAS. A confirmatory factor analysis with Maximum Likelihood is applied to a different sample (N=229) and CAS is approved by most common fit indices values. Total sample of the study consists of 547 participants and finalized CAS consists of 8 items and scale’s Cronbach’s alpha value is .923

Anahtar Kelimeler:

attendance, classroom attendance, classroom attitude, scale development

Classroom Attendance Scale Development and Validation Study

Keywords:

attendance, classroom attendance, classroom attitude, scale development,

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Ajzen, I. (2005a). Behavioral interventions based on the theory of planned behavior: Brief description of the theory of planned behavior. http://people.umass.edu/aizen/pdf/tpb.intervention.pdf
Ajzen, I. (2005b). Constructing a theory of planned behavior questionnaire: Brief description of the theory of planned behavior. http://people.umass.edu/aizen/pdf/tpb.measurement.pdf
Ajzen, I. (2005c). Sample TpB questionnare. http://people.umass.edu/aizen/pdf/tpb.questionnaire.pdf
Akkus, A. (2013). Informing Science and Technology Teachers About Cooperative Learning Model, Application of the Model in the Classroom and Evaluation of the Obtained Data: Case of MUŞ. Unpublished Doctorate Thesis, Ataturk University, Turkey.
Amoo, A. O., & Swart, A. J. (2018, 17-20 April). The influence of class attendance on the throughput rates of students at a FET college in South Africa [Paper presentation]. IEEE Global Engineering Education Conference: EDUCON, Tenerife, Spain. https://doi.org/10.1109/EDUCON.2018.8363101
Anthoine, E., Moret, L., Regnault, A., Sébille, V., & Hardouin, J.-B. (2014). Sample size used to validate a scale: a review of publications on newly-developed patient reported outcomes measures. Health and Quality of Life Outcomes, 12, 2. http://doi.org/10.1186/s12955-014-0176-2
Brinkman, W-P. (2009). Design of a questionnaire instrument, handbook of mobile technology research methods (pp. 31-57). Nova Publisher
Cabrera-Nguyen, P. (2010). Author guidelines for reporting scale development and validation results in the Journal of the Society for Social Work and Research. Journal of the Society for Social Work and Research, 1 (2), 99-103.
Chen, J., & Lin, T.-F. (2008). Class Attendance and Exam Performance: A Randomized Experiment. The Journal of Economic Education, 39 (3), 213–227. http://doi.org/10.3200/jece.39.3.213-227
Chen, S. (2006). Development of a instrument to assess views on nature of science and attitudes toward teaching science. Science Education, 90 (5), 803-819. http://doi.org/10.1002/sce.20147
Clark, L.A. & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7 (3), 309-319.
Cohn, E. & Johnson, E. (2006) Class attendance and performance in principles of economics. Education Economics, 14 (2), 211-233. http://doi.org/10.1080/09645290600622954
Crede, M., Roch, S. G., & Kieszczynka, U. M. (2010). Class Attendance in College: A meta-analytic review of the relationship of class attendance with grades and student characteristics. Review of Educational Research, 80 (2), 272–295. http://doi.org/10.3102/0034654310362998
Demirutku, K. & Tekinay, S. (2016). The relationships between human values, absenteeism attitudes and reasons. Hacettepe University Journal of Education, 31 (3), 505-519. http://doi.org/10.16986/HUJE.2016016667
Deshpande, L. (2004, December 13-17). Challenges in measurement of scientific attitude [Paper presentation]. epiSTEME-1: An International Conference to Review Research on Science Technology And Mathematics Education, Goa, India.
Devadoss, S., & Foltz, J. (1996). Evaluation of Factors Influencing Student Class Attendance and Performance. American Journal of Agricultural Economics, 78 (3), 499–507. http://doi.org/10.2307/1243268
Durden, G.C. & Ellis, L.V. (1995). The effects of attendance on student learning in principles of economics. The American Economic Review, 85 (2), 343-346
Eryılmaz., A. (2014). The Development of the Scales of Classroom Engagement for University Students. Usak university of Journal of Social Sciences, 7 (2), 203-214
Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th Edition). SAGE
Francis, J., Eccles, M. P., Johnston, M., Walker, A. E., Grimshaw, J. M., Foy, R., Kaner, E. F. S., Smith, L. and Bonetti, D. (2004). Constructing questionnaires based on the theory of planned behaviour: A manual for health services researchers. UK: Centre for Health Services Research, University of Newcastle upon Tyne
Fjortoft,N. (2005). Students’ motivations for class attendance. American Journal of Pharmaceutical Education, 69 (1), 107-112.
Friedman, P., Rodriguez, F., & McComb, J. (2001). Why Students Do and Do Not Attend Classes. College Teaching, 49 (4), 124–133. http://doi.org/10.1080/87567555.2001.10844593
Gump, S. E. (2005). The Cost of Cutting Class: Attendance As A Predictor of Success. College Teaching, 53 (1), 21–26. http://doi.org/10.3200/ctch.53.1.21-26
Hemyari, C., Zomorodian, K., Sahraian, A., Mardani, Z., Sarkari, B. & Ahmadi, N. (2017). Impact of students’ class attendance on recalling previously acquired information. Journal of Medical Education, 16 (4), 208-214.
Hilal Bati, A., Mandiracioglu, A., Orgun, F. & Govsa, F. (2013). Why do students miss lectures? A study of lecture attendance amongst students of health science. Nurse Education Today, 33, 596-601. http://doi.org/10.1016/j.nedt.2012.07.010
Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 2 (1), 104-121 http://doi.org/10.1177/109442819800100106
Hinkin, T. R., Tracey, J. B., & Enz, C. A. (1997). Scale construction: Developing reliable and valid measurement instruments. Journal of Hospitality & Tourism Research, 21 (1), 100-120. http://doi.org/10.1177/109634809702100108
Hof, M.W. (2012). Questionnaire Evaluation with Factor Analysis and Cronbach ’ s Alpha : An Example. http://www.let.rug.nl/nerbonne/teach/rema-stats-meth-seminar/student-papers/MHof-QuestionnaireEvaluation-2012-Cronbach-FactAnalysis.pdf
Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modeling: Guidelines for determining model fit. Journal of Business Research Methods, 6(1), 53–60. http://www.ejbrm.com/issue/download.html?idArticle=183
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. http://doi.org/10.1080/10705519909540118
Jha, K., Kumar, Y., Kumar, T. & Singh, R. (2017). Does stressor and class attendance affect academic performance of medical students? A cross sectional study. Global Journal for Research Analysis, 6 (11), 373-375.
Johanson, G.A., & Brooks, G.P. (2010). Initial scale development: Sample size for pilot studies. Educational and Psychological Measurement, 70 (3), 394-400. http://doi.org/10.1177/0013164409355692
Johnson, R.L. & Morgan, G.B. (2016). Survey scales: Investigating scale quality. The Guilford Press.
Kalaycı, Ş. (2010). SPSS uygulamalı çok değişkenli istatistik teknikleri. (5. Baskı) [SPSS applications multivariate statistical techniques (5th edition)]. Asil Yayın Dağıtım Ltd. Şti.
Lovelace, M. and Brickman, P. (2013). Best practices for measuring students’ attitudes toward learning science. CBE-Life Sciences Education, 12 (4), 606-617. http://doi.org/10.1187/cbe.12-11-0197
Madans, J. H. (2001). Health Surveys. International Encyclopedia of the Social & Behavioral Sciences, 6619–6627. http://doi.org/10.1016/b0-08-043076-7/03903-6
Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action. Personality and Social Psychology Bulletin, 18 (1), 3–9. http://doi.org/10.1177/0146167292181001
Moore, R.W. & Foy, R.L.H. (1997). The scientific attitude inventory: A revision (SAI II). Journal of Research in Science Teaching, 34 (4), 327-336.
Pryor, B. W. (1990). Predicting and Explaining Intentions to Participate in Continuing Education: An Application of the Theory of Reasoned Action. Adult Education Quarterly, 40 (3), 146–157. http://doi.org/10.1177/0001848190040003003
Teo, T. & Lee, C. B. (2010). Examining the efficacy of the Theory of Planned Behavior (TPB) to understand pre-service teachers’ intention to use technology. In C.H. Steel, M.J.
Keppell, P. Gerbic & S. Housego (Eds.), Curriculum, technology & transformation for an unknown future. Proceedings ascilite Sydney 2010 (pp.968-972) http://ascilite.org.au/conferences/sydney10/procs/Teo-concise.pdf
Senemoglu, N. (2013). Gelişim, öğrenme ve öğretim. Kuramdan uygulamaya [Development, learning and instruction. From theory to application]. Yargı Publications
Sümer, N. (2000). Structural equation models: Basic concepts and sample applications. Turkish Psychological Articles, 3 (6), 49–74. https://www.researchgate.net/publication/281981476_Yapidotlesssal_esitlik_modelleri_Temel_kavramlar_ve_ornek_uygulamalar
Trafimow, D. (2009). The Theory of Reasoned Action. Theory & Psychology, 19 (4), 501–518. http://doi.org/10.1177/0959354309336319
Van Blerkom, M. L. (1992). Class Attendance in Undergraduate Courses. The Journal of Psychology, 126 (5), 487–494. http://doi.org/10.1080/00223980.1992.10543382
Watkins, M. W. (2000). Monte carlo PCA for parallel analysis [computer software]. State College, PA: Ed & Psych Associates.
Wong., M. & Lian, S. (2003). Development of a self-efficacy scale for assessing secondary school students’ science self-efficacy beliefs. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.8479
Yıldırım, B., & Selvi, M. (2015). Adaptation of STEM attitude scale to Turkish. Turkish Studies: International Periodical for the Languages, Literature and History of Turkish or Turkic, 10(3), 1117–1130. https://dx.doi.org/10.7827/TurkishStudies.7974